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Documentation Example for PROC MODECLUS (modecex5)

This SAS script demonstrates the use of PROC MODECLUS for cluster analysis on unidimensional data, exploring the impact of the THRESHOLD parameter on clustering results, and visualizes the results with PROC SGPLOT.

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Sans titre

This SAS script demonstrates the use of the MODECLUS procedure for cluster analysis and the SGPLOT procedure for visualizing the results on an internally generated dataset.

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Advanced Customization of Graphic Legends with PROC SGPLOT

Demonstration of legend customization capabilities in SAS graphics, including symbol dimension management and Unicode character integration.

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Random Data Generation and SGPLOT Visualization

Script generating random data to create a custom scatter plot.

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Survival Analysis with Curves and Risk Tables

This script performs a survival analysis on SASHELP.BMT data, generates survival curve data via PROC LIFETEST, then uses PROC SGPLOT to create multiple visualizations of the Kaplan-Meier curve with subjects at risk tables.

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Tumor Size Change Graphs (Waterfall Plot)

This script generates data simulating tumor size variation and creates two 'waterfall plot' bar charts with PROC SGPLOT to visualize these changes.

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Distributional Analysis and Empirical Cumulative Distribution Function (ECDF)

This SAS script defines and uses two macros to analyze and visualize the distribution and the empirical cumulative distribution function (ECDF) of a numerical variable. It compares an approach using PROC UNIVARIATE with a manual approach combining a DATA STEP and PROC SGPLOT.

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Creating an ODS document with multiple outputs

This script illustrates the creation of an ODS document containing multiple reports and a graph. It prepares data from SASHELP, then generates tables with PROC REPORT and a bar chart with PROC SGPLOT, all stored within an ODS DOCUMENT.

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Descriptive Analysis of BMI and Graphical Visualization

proc sgplot data = bmi; vbar bmi; run;

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Descriptive Analysis of BMI and Graphical Visualization

proc sgplot data = bmi; vbar bmi / datalabel; run;